TO SURVIVE OR TO FAIL - THAT IS THE QUESTION

被引：10

作者：

ABEL, PS

SINGPURWALLA, ND

机构：

[1] GEORGE WASHINGTON UNIV, DEPT OPERAT RES, WASHINGTON, DC 20052 USA

[2] GEORGE WASHINGTON UNIV, DEPT STAT, WASHINGTON, DC 20052 USA

来源：

AMERICAN STATISTICIAN | 1994年 / 48卷 / 01期

关键词：

ACCELERATED TESTING; CENSORING; ENTROPY; EXPONENTIAL DISTRIBUTION; FISHER INFORMATION; LIFE TESTING; PARAMETERIZATION; SHANNON INFORMATION; UNCERTAINTY;

D O I：

10.2307/2685079

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A question that naturally arises in life testing is the following: ''During the conduct of the test, what would you rather observe, a failure or a survival?'' Most people answer this question by saying failure, because intuitively, failures are presumed to provide more information about the parameters of a failure model than survivals. The aim of this article is to point out that such intuition could be misleading and that the answer depends on the particular parameterization that is chosen. The argument is made through the use of Shannon's measure of information in an experiment, with the exponential as an example.

引用

页码：18 / 21

页数：4